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Psychometrika

, Volume 17, Issue 2, pp 209–222 | Cite as

Multiple group methods for common-factor analysis: Their basis, computation, and interpretation

  • Louis Guttman
Article

Abstract

In a previous paper (1) were developed three basic theorems which were shown to provide numerical routines, as well as algebraic proof, for existing common-factor methods. New “multiple” routines were also indicated. The first theorem showed how to extract as many common factors as one wished from the correlation matrix in one operation. The second theorem showed how to do the same from the score matrix. The third proved that factoring the correlation matrix was equivalent to factoring the score matrix. A particular application of these theorems is the multiple group factoring method, which the writer first used in practice on some Army attitude scores during World War II. The present paper explains the basic theorems in more detail with special reference to group factoring. Computations are outlined as consisting of five simple matric operations. The meaning of commonfactor analysis is given in terms of the basic theorems, as well as the relationship to “inverted” factor theory.

Keywords

Public Policy Correlation Matrix Special Reference Statistical Theory Common Factor 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Psychometric Society 1952

Authors and Affiliations

  • Louis Guttman
    • 1
  1. 1.The Israel Institute of Applied Social ResearchIsrael

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